Omer T. Inan

He joined ALZA Corporation (A Johnson and Johnson Company) in 2006, where he designed micropower circuits for iontophoretic drug delivery. In 2007, he joined Countryman Associates, Inc., Menlo Park, CA where he was Chief Engineer, involved in designing and developing high-end professional audio circuits and systems. From 2009-2013, he was also a Visiting Scholar in the Department of Electrical Engineering, Stanford University. Since 2013, Dr. Inan is an Assistant Professor of Electrical and Computer Engineering at the Georgia Institute of Technology. He is also an Adjunct Assistant Professor in the Wallace H. Coulter Department of Biomedical Engineering. His research focuses on non-invasive physiologic monitoring for human health and performance, and applying novel sensing systems to chronic disease management, acute musculoskeletal injury recovery, and pediatric care.

Dr. Inan is an Associate Editor of the IEEE Journal of Biomedical and Health Informatics, Associate Editor for the IEEE Engineering in Medicine and Biology Conference and the IEEE Biomedical and Health Informatics Conference, Invited Member of the IEEE Technical Committee on Translational Engineering for Healthcare Innovation, and Technical Program Committee Member or Track Chair for several other major international biomedical engineering conferences. He has published more than 65 technical articles in peer-reviewed international journals and conferences, and has four issued and four pending patents. Dr. Inan received the Gerald J. Lieberman Fellowship (Stanford University) in 2008-’09 for outstanding scholarship, and the Lockheed Dean’s Excellence in Teaching Award (Georgia Tech) in 2016.

Contributions

The ballistocardiogram (BCG), a signal describing the reaction forces of the body to cardiac ejection of blood, has recently gained interest in the research community as a potential tool for monitoring the mechanical aspects of cardiovascular health for patients at home and during normal activities of daily living.

We propose an ultra-convenient cuffless blood pressure (BP) monitoring approach based on the ballistocardiogram (BCG). The approach monitors BP using two mechanistically derived features in the whole-body, head-to-foot BCG: the time interval between the first and second major waves for DP, and the amplitude between the second and third major waves for pulse BP (PP; which can be added to DP to yield SP). The proposed approach can complement the conventional pulse transit time technique in two ways.

We present the framework for wearable joint rehabilitation assessment following acute knee injury based on the measurement of acoustical emissions from the knee with miniature microphones. The research reported in this paper was highlighted in several major news pieces including Scientific American and BBC Radio.